Run
1983641

Run 1983641

Task 29 (Supervised Classification) credit-approval Uploaded 04-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.18.1. sklearn.pipeline.Pipeline Sklearn_0.18.1. Tue_Apr__4_19.03.01_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,stand ardscaler=sklearn.preprocessing.data.StandardScaler,neuralnetwork=helper.nn .NeuralNetwork)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(1)_copyTrue
sklearn.preprocessing.data.StandardScaler(1)_with_meanTrue
sklearn.preprocessing.data.StandardScaler(1)_with_stdTrue
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,neuralnetwork=helper.nn.NeuralNetwork)(1)_steps[('dualimputer', ), ('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('neuralnetwork', NeuralNetwork(activation='relu', batch_size=16, dropout=0.5, epochs=15, layer_size=128, loss='sparse_categorical_crossentropy', metrics=['accuracy'], optimizer='adam', readout='softmax', verbose=0))]
helper.nn.NeuralNetwork(1)_activationrelu
helper.nn.NeuralNetwork(1)_batch_size16
helper.nn.NeuralNetwork(1)_dropout0.5
helper.nn.NeuralNetwork(1)_epochs15
helper.nn.NeuralNetwork(1)_layer_size128
helper.nn.NeuralNetwork(1)_losssparse_categorical_crossentropy
helper.nn.NeuralNetwork(1)_metrics['accuracy']
helper.nn.NeuralNetwork(1)_optimizeradam
helper.nn.NeuralNetwork(1)_readoutsoftmax
helper.nn.NeuralNetwork(1)_verbose0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9202
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8597
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7171
Cross-validation details (10-fold Crossvalidation)
KB relative information score
417.5976
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2087
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8614
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8594
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8594
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4225
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3217
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6474
Cross-validation details (10-fold Crossvalidation)